- 11 6月, 2018 15 次提交
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由 qiaolongfei 提交于
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由 gongweibao 提交于
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由 qiaolongfei 提交于
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由 qiaolongfei 提交于
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由 dzhwinter 提交于
* "add inplace attribute" * "register inplace attribute" * "change se-next model for memory-reuse" * "fix typo" * repick * fix merge conflict * "fix stupid error"
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由 qiaolongfei 提交于
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由 gongweibao 提交于
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由 qiaolongfei 提交于
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由 qiaolongfei 提交于
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由 gongweibao 提交于
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由 qiaolongfei 提交于
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由 yuyang18 提交于
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由 yuyang18 提交于
* Remove unused arg_max/min_op.h * Remove reference parameter. Use pointer insteaded. * undef macro * Always set OutT as int64_t.
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由 gongweibao 提交于
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由 mozga-intel 提交于
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- 08 6月, 2018 16 次提交
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由 guochaorong 提交于
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由 sneaxiy 提交于
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由 Yancey1989 提交于
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由 Luo Tao 提交于
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由 guochaorong 提交于
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由 yuyang18 提交于
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由 sneaxiy 提交于
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由 Yan Chunwei 提交于
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由 fengjiayi 提交于
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由 yuyang18 提交于
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由 yuyang18 提交于
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由 chengduoZH 提交于
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由 fengjiayi 提交于
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由 Yancey1989 提交于
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由 chengduoZH 提交于
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由 Yancey 提交于
* fix dist train error * update by comment
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- 07 6月, 2018 9 次提交
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由 Xin Pan 提交于
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由 dzhwinter 提交于
* "split into multiple .ccl" * "refine file structure" * "refine files" * "remove the cmakelist" * "fix typo" * "fix typo" * fix ci
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由 fengjiayi 提交于
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由 dzhwinter 提交于
* "init benchmark ops" * "untrack outputs" * "delete some usused code" * "benchmark" * "fix ci" * "fix op test" * "fix uint16 missing" * "fix ci" * "follow comments" * "fix ci" * "follow comments" * "conficts. merge develop branch" * repick * "merge develop branch"
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由 fengjiayi 提交于
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由 fengjiayi 提交于
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由 mozga-intel 提交于
* Add MKLDNN layout support in Paddle Add MKLDNN layout in Paddle so that MKLDNN friendly memory layout can be used in MKLDNN enabled OP kernel. Before this commit, NCHW is hardcode to be used in all MKLDNN op kernels. As a result, non-optimized execution path is selected in MKLDNN primitive which bring worse performance. Besides framework change, three MKLDNN OP kernels were updated for using new MKLDNN layout. They are conv/pool2d/batch_norm. Other MKLDNN OP kernels need be also updated in similar way to achieve best performance. * Add MKLDNN layout support in activation OP * Don't populate layout from input to output when kMKLDNN in * Refine pool mkldnn op kernel * MKLDNN layout * Remove the inferitance from tensor file * MKLDNN layout: refactoring * Remove additional #define to register new operator * Prepare mkldnn tests to work with layout
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由 chengduoZH 提交于
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由 chengduoZH 提交于
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